Multi-User Beamforming Design for Integrating Sensing, Communications, and Power Transfer
Xiaoyang Li, Xuan Yi, Ziqin Zhou, Kaifeng Han, Zidong Han, Yi Gong
Abstract
To facilitate the data collection process, simultaneous wireless information and power transfer utilizes the same signal for powering the devices and delivering the information, while the integrated sensing and communication utilizes the same signal for data transmission and radar sensing. In next generation networks, the sensing, communication, and power transfer functionalities are expected to be integrated together to enhance the radio resource efficiency and enable the data collection by massive low-power devices, which leads to the new research direction namely integrating sensing, communication, and power transfer (ISCPT). The ISCPT beamforming design for multiple users is investigated in this paper to improve the sensing performance while guaranteeing the communication and power transfer requirements. The resultant non-convex optimization problem is solved by the approach based on semidefinite relaxation and rank reduction methods. Simulations are further conducted to verify the effectiveness of the proposed design.